Learn more about PyTorch → https://ibm.biz/BdSx57
Learn more about Llama → https://ibm.biz/BdSx53
LLaMa Recipes on Github → https://ibm.biz/BdSx5Q
Foundation Model Stack on GitHub → https://ibm.biz/foundation-model-stack
PyTorch is an open source Python based framework for AI model training and inferencing, but it's still a resource intensive task. In this video, Raghu Kiran Ganti from IBM Research and Suraj Subramanian from Meta discuss how to increase efficiencies in both cost and time for AI workloads using PyTorch features like fully sharded data parallel (FSDP) and TorchDynamo.
Get started for free on IBM Cloud → https://ibm.biz/sign-up-now
Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now
#PyTorchConf #pytorch #ai